A company produces precision 1000‑millimeter rulers. The actual distribution of the lengths of the rulers produced by this company is Normal, with mean ?μ and standard deviation ?=0.02σ=0.02 millimeters. Suppose I select a simple random sample of four of the rulers produced by the company and I measure their lengths in millimeters. The sample yields ?¯=1000x¯=1000 . A 90% confidence interval for ?μ is:
A company produces precision 1000‑millimeter rulers. The actual distribution of the lengths of the rulers produced by this company is Normal, with mean ?μ and standard deviation ?=0.02σ=0.02 millimeters. Suppose I select a simple random sample of four of the rulers produced by the company and I measure their lengths in millimeters. The sample yields ?¯=1000x¯=1000 . A 90% confidence interval for ?μ is:
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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A company produces precision 1000‑millimeter rulers. The actual distribution of the lengths of the rulers produced by this company is Normal, with mean ?μ and standard deviation ?=0.02σ=0.02 millimeters. Suppose I select a simple random sample of four of the rulers produced by the company and I measure their lengths in millimeters. The sample yields ?¯=1000x¯=1000 . A 90% confidence interval for ?μ is:
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